Grocery & Retail Data: Four Project Types Compared | Actowiz
Why the Distinction Matters Before Anything Else Grocery is unusually broad as a data category. It spans full-range supermarkets, discounters, wholesale clubs, quick commerce, and online-only grocers, across markets where the same brand appears in different pack sizes, languages and category structures. A request phrased as "grocery product data from these retailers" is compatible with a one-time 50,000-product catalogue pull and with a thrice-daily price tracker on 200 SKUs. Those are different projects by an order of magnitude in every dimension. The four shapes below cover most real requirements. The useful question at the start of a grocery engagement is not "which retailers" — it is which of these four is this. Type 1 — Catalogue Build The question it answers: what exists, and at what price, right now? Shape: once-off. A complete or near-complete extraction of a retailer's catalogue across defined categories, from one fixed location, with a broad attribut...